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Record W6927008341 · doi:10.26071/ogsl-906649c6-b01d

Arctic Expedition aboard the CCGS Amundsen (2020)

2020· report· en· W6927008341 on OpenAlexaboutno aff

Bibliographic record

VenueOGSL repository · 2020
Typereport
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsCruiseArcticSampling (signal processing)The arcticBenthosSonar

Abstract

fetched live from OpenAlex

This dataset contains the complete expedition report, the expedition map as well as a list of stations and sampling types. The 2020 Expedition Report describes scientific expedition carried out on the CCGS Amundsen in the Canadian Arctic between July 16 and October 27, 2020. The report is a collection of all the participating research teams’ Cruise reports assembled by the Chief Scientists at the end of Leg 1, Leg 2 (a, b and c) and Leg 3 of the CCGS Amundsen Expedition. The 2020 Expedition Report is divided into two parts: Part I gives an overview of the expedition, shows the cruise track and the stations visited and provides a synopsis of operations conducted during each of the three legs. Part II contains the reports submitted by participating science teams or researchers, with details on the specific objectives of their project, the field operations conducted and methodology used, and in some cases, preliminary results. When results are presented, they show the data as they were submitted at the end of the legs in 2020. The data presented in the report are illustrative only and have not been quality checked, thus parties interested in the results should contact the project leader or the researchers who collected the data. The sections in Part II describing each project are organized with multidisciplinary project reports. Subsequent sections cover Biological sampling, water column properties, benthos sampling from the ROV and seabed mapping. The four Appendices provide details on the locations and type of sampling performed at each station visited by the ship, as well as a list of science participants onboard during each leg. The core oceanographic data generated by the CTD-Rosette operations, as well as meteorological information (AVOS) and data collected using the Moving Vessel Profiler (MVP), the ship-mounted current meter (SM-ADCP) and the thermosalinograph (TSG) are available in the [**Polar Data Catalogue (PDC)**](https://www.polardata.ca/pdcsearch/?doi_id=12713) It is possible to consult an [**interactive map**](https://data.amundsen.ulaval.ca/) including all the years of expeditions and the different trajectories (LEG) associated with them.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.549
Threshold uncertainty score0.897

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0440.030

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.287
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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